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Reinforcement Learning & RLHF Peer-Reviewed Research Papers Oracle

Returns the highest-impact peer-reviewed scientific papers and open-access links in Reinforcement Learning & RLHF via OpenAlex.

Call it (no API key)

GET https://api.agentdatahub.de/api/v1/call/research-feed-reinforcement-learning?compact=1

Full metadata: without compact=1 · Markdown: format=llm · Only some fields: add &fields=a,b.c · MCP: tool call_api with {"apiId":"research-feed-reinforcement-learning"}

Parameters

None.

Example response (live, compact)

{
  "apiId": "research-feed-reinforcement-learning",
  "data_freshness": "cached",
  "data": {
    "research_field": "Reinforcement Learning & RLHF",
    "total_indexed_papers": 12775,
    "landmark_papers": [
      {
        "title": "Discernment and Social Learning as a Companion Training Layer",
        "publication_year": 2022,
        "cited_by_count": 4206,
        "doi": "https://doi.org/10.48550/arxiv.2203.02155",
        "open_access_url": "https://arxiv.org/pdf/2203.02155"
      },
      {
        "title": "A Survey on Evaluation of Large Language Models",
        "publication_year": 2024,
        "cited_by_count": 3128,
        "doi": "https://doi.org/10.1145/3641289",
        "open_access_url": "https://arxiv.org/pdf/2307.03109"
      },
      {
        "title": "A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions",
        "publication_year": 2024,
        "cited_by_count": 2492,
        "doi": "https://doi.org/10.1145/3703155",
        "open_access_url": "https://arxiv.org/pdf/2311.05232"
      },
      {
        "title": "GPT-4 Technical Report",
        "publication_year": 2023,
        "cited_by_count": 2400,
        "doi": "https://doi.org/10.4230/lipics.cosit.2024.11",
        "open_access_url": "https://arxiv.org/pdf/2303.08774"
      },
      {
        "title": "A Survey of Large Language Models",
        "publication_year": 2026,
        "cited_by_count": 2077,
        "doi": "https://doi.org/10.1007/s11704-026-60308-3",
        "open_access_url": "https://link.springer.com/content/pdf/10.1007/s11704-026-60308-3.pdf"
      },
      {
        "title": "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena",
        "publication_year": 2023,
        "cited_by_count": 1838,
        "doi": "https://doi.org/10.52202/075280-2020",
        "open_access_url": "https://arxiv.org/pdf/2306.05685"
      }
    ]
  },
  "source": "OpenAlex Global Scientific Knowledge Graph (CC0)",
  "license": "CC0 1.0 Public Domain (OpenAlex)"
}

Recorded history available: /api/v1/history/research-feed-reinforcement-learning

Source & license